RewardBench: the first evaluation tool for reward models.
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Oct 14, 2026 - Python
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preference-learning
Here are 157 public repositories matching this topic...
Free and open source code of the https://tournesol.app platform. Meet the community on Discord https://discord.gg/WvcSG55Bf3
python youtube django reactjs django-rest-framework dataset recommendation-engine preference-learning social-choice ai-ethics bradley-terry-model golden-ratio-optimization preference-aggregation
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Nov 7, 2026 - Python
A native Mac App for LLM fine-tuning on Apple Silicon — fully on-device, fully open source.
nlp machine-learning reinforcement-learning deep-learning rl mlx preference-learning sft llms rlhf llm-training mlx-lm mlx-lm-lora
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Oct 27, 2026 - Swift
Explore concepts like Self-Correct, Self-Refine, Self-Improve, Self-Contradict, Self-Play, and Self-Knowledge, alongside o1-like reasoning elevation🍓 and hallucination alleviation🍄.
decoding self-improvement knowledge-distillation data-augmentation reasoning self-consistency preference-learning hallucination self-correction attention-head large-language-models chain-of-thought large-language-model internal-consistency self-feedback self-refine self-correct
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Nov 2, 2026 - Jupyter Notebook
Pairwise LLM judges (A/B/tie): budget-aware multi-turn packing, position-bias correction, pseudo-label distillation. Generalized from the 4th-place (gold) solution to Kaggle LMSYS Chatbot Arena.
nlp kaggle-competition lora preference-learning kaggle-solution gold-medal llm rlhf reward-model llm-as-judge chatbot-arena
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Oct 9, 2026 - Python
Self-evolving agentic reward framework for image-editing evaluation — 47.4% on EditReward-Bench from only 100 preference demos, no reward-model training. arXiv 2605.08703.
benchmark evaluation image-editing gemini vlm ai-agents preference-learning rlhf reward-model agentic llm-evaluation qwen-vl reward-modeling self-evolving llm-judge
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Oct 27, 2026 - Python
A Survey of Direct Preference Optimization (DPO)
review survey alignment preference-learning dpo large-language-models llm llms large-language-model reinforcement-learning-from-human-feedback direct-preference-optimization
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Jul 4, 2025
Persona agents with explicit memory, retrieval, adversarial smoke tests and a practical post-training roadmap.
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Sep 9, 2026 - JavaScript
The MAGICAL benchmark suite for robust imitation learning (NeurIPS 2020)
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Dec 5, 2023 - Python
This repository contains the source code for our paper: "NaviSTAR: Socially Aware Robot Navigation with Hybrid Spatio-Temporal Graph Transformer and Preference Learning". For more details, please refer to our project website at https://sites.google.com/view/san-navistar.
machine-learning reinforcement-learning transformer preference-learning robot-navigation socially-aware-navigation
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Mar 8, 2025 - Python
Python-based GUI to collect Feedback of Chemist in Molecules
machine-learning drug-discovery human-in-the-loop preference-learning de-novo-drug-design generative-ai
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Oct 15, 2024 - Python
Accelerate LLM preference tuning via prefix sharing with a single line of code
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Jul 4, 2025 - Python
Policy-driven preference data for content moderation, with source-linked evidence, resumable runs, budget controls and TRL/ShareGPT exports.
python data-validation multi-agent dataset-generation synthetic-data preference-learning content-moderation dpo llm rlhf
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Nov 7, 2026 - Python
Official implementation of Bootstrapping Language Models via DPO Implicit Rewards
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Apr 15, 2025 - Python
Code for the paper "Aligning LLM Agents by Learning Latent Preference from User Edits".
transformers alignment user-feedback edits interpretability preference-learning gpt4 llm llms human-feedback
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Nov 23, 2024 - Python
Policy Learning from Large Vision-Language Model Feedback Without Reward Modeling (IROS 2025)
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Dec 26, 2025 - Python
A curated list of "A Survey on Post-training of Multimodal Large Language Models" research. Watch this repository for latest updates! 🔥
reasoning domain-adaptation preference-learning post-training instruction-tuning lora-training vision-language-models mllms moe-models alignment-research
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Nov 10, 2026
Official code for ICML 2024 paper, "RIME: Robust Preference-based Reinforcement Learning with Noisy Preferences" (ICML 2024 Spotlight)
reinforcement-learning deep-learning robotics artificial-intelligence manipulation locomotion preference-learning reinforcement-learning-from-human-feedback
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Oct 15, 2024 - Python
[ICLR 2026] MergeMix: A Unified Augmentation Paradigm for Visual and Multi-Modal Understanding
image-classification data-augmentation preference-learning mixup multimodal ranking-loss mmcv llava token-merging token-compression iclr2026
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Feb 27, 2026 - Python
A self-improving personal state system: an AI agent reads your journal through PAD emotion, security/hope (G) and growth (XP) lenses, asks for your feedback, and turns it into rules. Python stdlib only.
python markdown cli stdlib quantified-self journaling feedback-loop obsidian mental-health self-improvement agents self-tracking preference-learning mood-tracker daily-notes personal-knowledge-management emotion-tracking ai-agent llm pad-model
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Nov 10, 2026 - Python
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